Andrzej Kochut
- Computer Networks and Communications top 1%
- Information Systems top 0.5%
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Co-authors
- Kirk BeatyNorman BobroffGautam KarGunjan KhannaAnshul GandhiAlexei KarveA. Udaya ShankarAshok K. Agrawala
- Topics
- Cloud Computing and Resource Management (28 papers)Distributed and Parallel Computing Systems (11 papers)IoT and Edge/Fog Computing (11 papers)
- Journals
- ComputerIEEE Transactions on Parallel and Distributed SystemsIBM Journal of Research and Development
- Partner nations
- United StatesGermanyIreland
In The Last Decade
Andrzej Kochut
41 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Computer Networks and Communications 1.4k
- Information Systems 1.2k
- Electrical and Electronic Engineering 139
- Hardware and Architecture 135
- Artificial Intelligence 118
Countries citing papers authored by Andrzej Kochut
This map shows the geographic impact of Andrzej Kochut's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrzej Kochut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Kochut more than expected).
Fields of papers citing papers by Andrzej Kochut
This network shows the impact of papers produced by Andrzej Kochut. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrzej Kochut. The network helps show where Andrzej Kochut may publish in the future.
Co-authorship network of co-authors of Andrzej Kochut
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Kochut. A scholar is included among the top collaborators of Andrzej Kochut based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrzej Kochut. Andrzej Kochut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 26 | |
| 3 | 11 | |
| 4 | 10 | |
| 5 | Adaptive, Model-driven Autoscaling for Cloud Applications | 81 |
| 6 | 24 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | 34 | |
| 12 | 8 | |
| 13 | 18 | |
| 14 | 15 | |
| 15 | Dynamic Placement of Virtual Machines for Managing SLA Violationsbreakdown → | 586 |
| 16 | 5 | |
| 17 | 219 | |
| 18 | 3 | |
| 19 | 164 | |
| 20 | Rover Technology: Enabling Scalable Location-Aware Computing | 5 |
About Andrzej Kochut
Andrzej Kochut is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (28 papers), Distributed and Parallel Computing Systems (11 papers) and IoT and Edge/Fog Computing (11 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Information Systems (1.2k citations) and Hardware and Architecture (135 citations). Andrzej Kochut has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Kirk Beaty, Norman Bobroff, Gautam Kar, Gunjan Khanna, Anshul Gandhi, Alexei Karve, A. Udaya Shankar, Ashok K. Agrawala, A. Vasan and Parijat Dube. Their work appears in journals such as Computer, IEEE Transactions on Parallel and Distributed Systems and IBM Journal of Research and Development.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.